The use of digital data storage in DNA chains is progressing

The use of digital data storage in DNA chains is progressing ...

Storing digital data in DNA strands is one of the most significant discoveries in recent years. Use DNA to provide long-term archive capacity. The first effort involves the storage of data in DNA chains, while the second is one of the most important storage companies in the world.

Catalog was already capable of storing all english wikipedia on DNA strands with a capacity of less than 16 GB, three years ago. One of the current objectives is to increase the transfer speed, which at that time was very slow, about 0.5 MB/s.

Each base is one of four different chemicals, and DNA is a structure that may be thought of as a linear array of bases. A, T, C, or G are all used to store two bits of information, and the bits are transmitted by the specific base that is present.

So A can code for 00, T can code for 01, C can code for 10, and G can code for 11 with this encoding.

The problem with this approach is that the longer the set of bits you wish to store, the longer it takes to recover the data. Today, DNA data storage still has limitations, as are the space and energy requirements for a DNA storage system and the aforementioned high costs.

Catalog has developed a Shannon machine that is based on inkjet technology. Each jet can "print" a single oligo, that is, a single short sequence of single-stranded DNA. Oligos are often used as probes to detect complementary DNA because they readily join to their counterparts.

Different oligos land on the same reaction point and overlap with the enzyme droplet, and the film is placed in an incubator, where the enzyme assembles them into a DNA molecule. Once the reactions are complete, the droplets can be combined into a single solution containing all the encoded information.

Seagate's 'lab on chip' technology can help reduce the amount of chemical required for storage and processing. Or, rather, mixing tiny droplets of DNA into various reservoirs and then using chemical reactions to perform various computations, such as search and analysis, machine learning, and process optimization.

This illustrates that synthetic DNA is a first-rate solution for long-term information storage in large quantities. In fact, as the Massachusetts Institute of Technology stated in 2016, it could store up to 200 exabytes of data in one gram of DNA.

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